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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong
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Sheets. Experience with data cleaning, management, and quantitative analysis using R. Experience in computational text analysis, using machine learning and/or large language models (e.g., ChatGPT
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identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. Please quote reference: 206-25-R
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. • Knowledge of ecology and ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software
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studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs
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of Nuclear Science invites applications for a postdoctoral research position. Our group has leading roles in the sensor design and the R&D for the test and characterization of novel wafer-sized 65nm stitched
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and data analysis using at least one of MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Enthusiastic, curious, and having excellent communication
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research Publication record in biomedical optics or sensor development Experience with statistical analysis software (e.g., R, MATLAB, Python) Proposed Salary The salary rage for this position is between
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with bioinformatics tools and analyses. • Experience with electrophysiology and proficiency in MATLAB/Python/R models of auditory and vestibular diseases. FLSA Exempt Full Time/Part Time Full Time Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
training and experience in toxicology, pharmacokinetics, transport modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python